Merge pull request #41176 from able8/fix-typos-in-blog

Fix typos in the blog
pull/41194/head
Kubernetes Prow Robot 2023-05-17 07:58:33 -07:00 committed by GitHub
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@ -68,7 +68,7 @@ More detials can be found in the KEP <https://kep.k8s.io/1040> and the pull requ
## Event triggered updates to container status
`Evented PLEG` (PLEG is short for "Pod Lifecycle Event Generator") is set to be in beta for v1.27,
Kubernetes offers two ways for the kubelet to detect Pod lifecycle events, such as a the last
Kubernetes offers two ways for the kubelet to detect Pod lifecycle events, such as the last
process in a container shutting down.
In Kubernetes v1.27, the _event based_ mechanism has graduated to beta but remains
disabled by default. If you do explicitly switch to event-based lifecycle change detection,
@ -92,7 +92,7 @@ enabling this feature gate may affect the start-up speed of the pod if the pod s
a large amount of memory.
Kubelet configuration now includes `memoryThrottlingFactor`. This factor is multiplied by
the memory limit or node allocatable memory to set the cgroupv2 memory.high value for enforcing
the memory limit or node allocatable memory to set the cgroupv2 `memory.high` value for enforcing
MemoryQoS. Decreasing this factor sets a lower high limit for container cgroups, increasing reclaim
pressure. Increasing this factor will put less reclaim pressure. The default value is 0.8 initially
and will change to 0.9 in Kubernetes v1.27. This parameter adjustment can reduce the potential
@ -113,7 +113,7 @@ container startup by mounting volumes with the correct SELinux label instead of
on the volumes recursively. Further details can be found in the KEP <https://kep.k8s.io/1710>.
To identify the cause of slow pod startup, analyzing metrics and logs can be helpful. Other
factorsthat may impact pod startup include container runtime, disk speed, CPU and memory
factors that may impact pod startup include container runtime, disk speed, CPU and memory
resources on the node.
SIG Node is responsible for ensuring fast Pod startup times, while addressing issues in large